Lowest temperature in Houston on Jun 20, 2026?

Prediction market odds reflect real-money bets from traders who have financial incentive to forecast accurately, often incorporating meteorological models and historical patterns faster than traditional analyst consensus. While weather forecasters publish deterministic predictions days or weeks ahead, this market aggregates dispersed knowledge through price discovery. Comparing the implied probabilities here to published forecasts from the National Weather Service or private meteorology firms can reveal where traders see value or disagreement, though both sources ultimately depend on the same underlying atmospheric data and model uncertainty.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract trades independently, and the bid-ask spread reflects the market's confidence in that range occurring. As new information arrives—updated forecasts, seasonal patterns, or real-time weather developments—traders adjust their positions, moving prices up or down to reflect changing probabilities of the lowest temperature falling within each bracket.

This market resolves around Jun 21, 2026, once June 20, 2026 has passed and the day's lowest temperature in Houston can be verified. The outcome is confirmed against credible public sources reporting the actual low temperature recorded on that date. Whichever temperature range bracket contains the verified low becomes the winning outcome, and traders holding shares in that outcome receive their payout while other positions expire worthless.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies will drive price movement in this market. El Niño or La Niña conditions, atmospheric pressure systems, and historical temperature records for that date all serve as reference points traders monitor. As June 2026 approaches, medium-range forecasts become more reliable, typically causing sharper repricing. Additionally, any unusual climate events or heat waves in the months leading up to the date could influence expectations about Houston's temperature trajectory.